Imaging Synaptic Density: The Next Holy Grail of Neuroscience?

The brain is the central and most complex organ in the nervous system, comprising billions of neurons that constantly communicate through trillions of connections called synapses. Despite being formed mainly during prenatal and early postnatal development, synapses are continually refined and elimin...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in neuroscience Vol. 16; p. 796129
Main Authors Serrano, Maria Elisa, Kim, Eugene, Petrinovic, Marija M, Turkheimer, Federico, Cash, Diana
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 25.03.2022
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The brain is the central and most complex organ in the nervous system, comprising billions of neurons that constantly communicate through trillions of connections called synapses. Despite being formed mainly during prenatal and early postnatal development, synapses are continually refined and eliminated throughout life via complicated and hitherto incompletely understood mechanisms. Failure to correctly regulate the numbers and distribution of synapses has been associated with many neurological and psychiatric disorders, including autism, epilepsy, Alzheimer's disease, and schizophrenia. Therefore, measurements of brain synaptic density, as well as early detection of synaptic dysfunction, are essential for understanding normal and abnormal brain development. To date, multiple synaptic density markers have been proposed and investigated in experimental models of brain disorders. The majority of the gold standard methodologies (e.g., electron microscopy or immunohistochemistry) visualize synapses or measure changes in pre- and postsynaptic proteins . However, the invasive nature of these classic methodologies precludes their use in living organisms. The recent development of positron emission tomography (PET) tracers [such as ( F)UCB-H or ( C)UCB-J] that bind to a putative synaptic density marker, the synaptic vesicle 2A (SV2A) protein, is heralding a likely paradigm shift in detecting synaptic alterations in patients. Despite their limited specificity, novel, non-invasive magnetic resonance (MR)-based methods also show promise in inferring synaptic information by linking to glutamate neurotransmission. Although promising, all these methods entail various advantages and limitations that must be addressed before becoming part of routine clinical practice. In this review, we summarize and discuss current and methods of quantifying synaptic density, including an evaluation of their reliability and experimental utility. We conclude with a critical assessment of challenges that need to be overcome before successfully employing synaptic density biomarkers as diagnostic and/or prognostic tools in the study of neurological and neuropsychiatric disorders.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
Reviewed by: Irina Dudanova, Max Planck Institute of Neurobiology (MPIN), Germany; Wen Zhang, Peking University, China; Jeroen Verhaeghe, University of Antwerp, Belgium
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
Edited by: Nadja Van Camp, Commissariat à l’Energie Atomique et aux Energies Alternatives, France
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2022.796129